Consistent Sufficient Explanations and Minimal Local Rules for explaining the decision of any classifier or regressor

Salim I. Amoukou, Nicolas J.-B. Brunel. Consistent Sufficient Explanations and Minimal Local Rules for explaining the decision of any classifier or regressor. In Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh, editors, Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. 2022. [doi]

@inproceedings{AmoukouB22,
  title = {Consistent Sufficient Explanations and Minimal Local Rules for explaining the decision of any classifier or regressor},
  author = {Salim I. Amoukou and Nicolas J.-B. Brunel},
  year = {2022},
  url = {http://papers.nips.cc/paper_files/paper/2022/hash/34b13425b5ba8ad05d97b0043df52ed3-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/AmoukouB22},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022},
  editor = {Sanmi Koyejo and S. Mohamed and A. Agarwal and Danielle Belgrave and K. Cho and A. Oh},
  isbn = {9781713871088},
}